Evaluation of Finnish diabetes risk score in screening undiagnosed diabetes and prediabetes among U.S. adults by gender and race: NHANES 1999-2010

PLoS ONE

Volumn 9, Issue 5, 2014, Pages

  Zhang, Lu ^a   Zhang, Zhenzhen ^b   Zhang, Yurong ^c   Hu, Gang ^d   Chen, Liwei ^e  

^a LOUISIANA STATE UNIVERSITY HEALTH SCIENCES CENTER   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c XI'AN JIAOTONG UNIVERSITY   (China)

^d PENNINGTON BIOMEDICAL RESEARCH CENTER   (United States)

^e CLEMSON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CONTROLLED STUDY; DISEASE ASSOCIATION; ETHNICITY; FEMALE; FINNISH DIABETES RISK SCORE; HIGH RISK PATIENT; HISPANIC; HUMAN; IMPAIRED GLUCOSE TOLERANCE; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; PREVALENCE; RACE DIFFERENCE; RISK ASSESSMENT; RISK FACTOR; SCORING SYSTEM; SCREENING TEST; SENSITIVITY AND SPECIFICITY; SEX DIFFERENCE; UNITED STATES; YOUNG ADULT; CROSS-SECTIONAL STUDY; DIABETES MELLITUS; MIDDLE AGED; NUTRITION; POPULATION GROUP; PREDIABETIC STATE;

ADULT; CROSS-SECTIONAL STUDIES; DIABETES MELLITUS; FEMALE; HUMANS; MALE; MIDDLE AGED; NUTRITION SURVEYS; POPULATION GROUPS; PREDIABETIC STATE; RISK FACTORS; SEX FACTORS; UNITED STATES; YOUNG ADULT;

EID: 84901352607     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0097865     Document Type: Article

References (50)

1. Centers for Disease Control and Prevention (CDC) (2012) Increasing prevalence of diagnosed diabetes - United States and puerto rico, 1995-2010. Morb Mortal Wkly Rep 61: 918-921.
2. American Diabetes Association (2013) Economic costs of diabetes in the U.S. in 2012. Diabetes Care 36: 1033-1046.
3. Boyle JP, Thompson TJ, Gregg EW, Barker LE, Williamson DF (2010) Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence. Popul Health Metr 8: 29.
4. National Diabetes Fact Sheet. Available: http://www.cdc.gov/diabetes/ pubs/estimates11.htm#7. Accessed 14 December 2013.
5. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, et al. (2002) Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 346: 393-403. (Pubitemid 34437694)
6. Tuomilehto J, Lindstrom J, Eriksson JG, Valle TT, Hamalainen H, et al. (2001) Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 344: 1343-1350. (Pubitemid 32378388)
7. Vermunt PW, Milder IE, Wielaard F, de Vries JH, Baan CA, et al. (2012) A lifestyle intervention to reduce Type 2 diabetes risk in Dutch primary care: 2.5-year results of a randomized controlled trial. Diabet Med 29: e223-231.
8. Costa B, Barrio F, Cabre JJ, Pinol JL, Cos X, et al. (2012) Delaying progression to type 2 diabetes among high-risk Spanish individuals is feasible in real-life primary healthcare settings using intensive lifestyle intervention. Diabetologia 55: 1319-1328.
9. Nilsen V, Bakke PS, Gallefoss F (2011) Effects of lifestyle intervention in persons at risk for type 2 diabetes mellitus - results from a randomised, controlled trial. BMC Public Health 11: 893.
10. Icks A, Haastert B, Gandjour A, John J, Lowel H, et al. (2004) Cost-effectiveness analysis of different screening procedures for type 2 diabetes: the KORA Survey 2000. Diabetes Care 27: 2120-2128. (Pubitemid 39167173)
11. American Diabetes Association (2004) Screening for type 2 diabetes. Diabetes Care 27 Suppl 1: S11-14.
12. Bang H, Edwards AM, Bomback AS, Ballantyne CM, Brillon D, et al. (2009) Development and validation of a patient self-assessment score for diabetes risk. Ann Intern Med 151: 775-783.
13. Heikes KE, Eddy DM, Arondekar B, Schlessinger L (2008) Diabetes Risk Calculator: a simple tool for detecting undiagnosed diabetes and pre-diabetes. Diabetes Care 31: 1040-1045.
14. Hippisley-Cox J, Coupland C, Robson J, Sheikh A, Brindle P (2009) Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ 338: b880.
15. Kahn HS, Cheng YJ, Thompson TJ, Imperatore G, Gregg EW (2009) Two risk-scoring systems for predicting incident diabetes mellitus in U.S. adults age 45 to 64 years. Ann Intern Med 150: 741-751.
16. Lindstrom J, Tuomilehto J (2003) The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care 26: 725-731. (Pubitemid 36929335)
17. Joshi SR (2005) Indian Diabetes Risk Score. J Assoc Physicians India 53: 755-757.
18. Glumer C, Carstensen B, Sandbaek A, Lauritzen T, Jorgensen T (2004) A Danish diabetes risk score for targeted screening: the Inter99 study. Diabetes Care 27: 727-733. (Pubitemid 38280541)
19. Guasch-Ferre M, Bullo M, Costa B, Martinez-Gonzalez MA, Ibarrola-Jurado N (2012) A risk score to predict type 2 diabetes mellitus in an elderly Spanish Mediterranean population at high cardiovascular risk. PLoS One 7: e33437.
20. Balkau B, Lange C, Fezeu L, Tichet J, Lauzon-Guillain BD, et al. (2008) Predicting diabetes: clinical, biological, and genetic approaches - Data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR). Diabetes Care 31: 2056-2061.
21. Baan CA, Ruige JB, Stolk RP, Witteman JCM, Dekker JM, et al. (1999) Performance of a predictive model to identify undiagnosed diabetes in a health care setting. Diabetes Care 22: 213-219. (Pubitemid 29056913)
22. Aekplakorn WA, Bunnag P, Woodward M, Sritara P, Cheepudomwit S, et al. (2006) A risk score for predicting incident diabetes in the Thai population. Diabetes Care 29: 1872-1877. (Pubitemid 44156645)
23. Doi Y, Ninomiya T, Hata J, Hirakawa Y, Mukai N, et al. (2012) Two risk score models for predicting incident type 2 diabetes in Japan. Diabet Med 29: 107-114.
24. Rathmann W, Martin S, Haastert B, Icks A, Holle R (2005) Performance of screening questionnaires and risk scores for undiagnosed diabetes: the KORA Survey 2000. Arch Intern Med 165: 436-441. (Pubitemid 40280200)
25. Saaristo T, Peltonen M, Lindstrom J, Saarikoski L, Sundvall J, et al. (2005) Cross-sectional evaluation of the Finnish Diabetes Risk Score: a tool to identify undetected type 2 diabetes, abnormal glucose tolerance and metabolic syndrome. Diab Vasc Dis Res 2: 67-72. (Pubitemid 40826998)
26. Franciosi M, De Berardis G, Rossi MC, Sacco M, Belfiglio M, et al. (2005) Use of the diabetes risk score for opportunistic screening of undiagnosed diabetes and impaired glucose tolerance: the IGLOO (Impaired Glucose Tolerance and Long-Term Outcomes Observational) study. Diabetes Care 28: 1187-1194. (Pubitemid 40616633)
27. Bergmann A, Li J, Wang L, Schulze J, Bornstein SR, et al. (2007) A simplified Finnish diabetes risk score to predict type 2 diabetes risk and disease evolution in a German population. Horm Metab Res 39: 677-682. (Pubitemid 47492652)
28. Makrilakis K, Liatis S, Grammatikou S, Perrea D, Stathi C, et al. (2011) Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece. Diabetes Metab 37: 144-151.
29. Soriguer F, Valdes S, Tapia MJ, Esteva I, Ruiz de Adana MS, et al. (2012) Validation of the FINDRISC (FINnish Diabetes RIsk SCore) for prediction of the risk of type 2 diabetes in a population of southern Spain. Pizarra Study. Med Clin (Barc) 138: 371-376.
30. Hellgren MI, Petzold M, Bjorkelund C, Wedel H, Jansson PA, et al. (2012) Feasibility of the FINDRISC questionnaire to identify individuals with impaired glucose tolerance in Swedish primary care. A cross-sectional population-based study. Diabet Med 29: 1501-1505.
31. Tankova T, Chakarova N, Atanassova I, Dakovska L (2011) Evaluation of the Finnish Diabetes Risk Score as a screening tool for impaired fasting glucose, impaired glucose tolerance and undetected diabetes. Diabetes Res Clin Pract 92: 46-52.
32. Alssema M, Vistisen D, Heymans MW, Nijpels G, Glumer C, et al. (2011) The evaluation of screening and early detection strategies for type 2 diabetes and impaired glucose tolerance (DETECT-2) update of the Finnish diabetes risk score for prediction of incident type 2 diabetes. Diabetologia 54: 1004-1012.
33. Winkler G, Hidvegi T, Vandorfi G, Balogh S, Jermendy G (2013) Prevalence of undiagnosed abnormal glucose tolerance in adult patients cared for by general practitioners in Hungary. Results of a risk-stratified screening based on FINDRISC questionnaire. Med Sci Monit 19: 67-72.
34. Lin JW, Chang YC, Li HY, Chien YF, Wu MY, et al. (2009) Cross-sectional validation of diabetes risk scores for predicting diabetes, metabolic syndrome, and chronic kidney disease in Taiwanese. Diabetes Care 32: 2294-2296.
35. Garcia-Alcala H, Genestier-Tamborero CN, Hirales-Tamez O, Salinas-Palma J, Soto-Vega E (2012) Frequency of diabetes, impaired fasting glucose, and glucose intolerance in high-risk groups identified by a FINDRISC survey in Puebla City, Mexico. Diabetes Metab Syndr Obes 5: 403-406.
36. Wang J, Zhang RY, Chen RP, Sun J, Yang R, et al. (2013) Prevalence and risk factors for diabetic retinopathy in a high-risk Chinese population. BMC Public Health 13: 633.
37. Alebiosu OC, Familoni OB, Ogunsemi OO, Raimi TH, Balogun WO, et al. (2013) Community based diabetes risk assessment in Ogun state, Nigeria. Indian J Endocrinol Metab 17: 653-658.
38. Barengo NC, Acosta T, Arrieta A, Ricaurte C, Mayor D, et al. (2013) Screening for people with glucose metabolism disorders within the framework of the DEMOJUAN project (DEMOnstration area for primary prevention of type 2 diabetes, JUAN Mina and Barranquilla, Colombia). Diabetes Metab Res Rev doi: 10.1002/dmrr.2462.
39. Ku GM, Kegels G (2013) The performance of the Finnish Diabetes Risk Score, a modified Finnish Diabetes Risk Score and a simplified Finnish Diabetes Risk Score in community-based cross-sectional screening of undiagnosed type 2 diabetes in the Philippines. Prim Care Diabetes 7: 249-259.
40. National Center for Health Statistics. National health and nutrition examination survey. Centers for Disease Control and Prevention Web site: Available: http://www.cdc.gov/nchs/nhanes.htm. Accessed 14 December 2013.
41. American Diabetes Association (2013) Diagnosis and classification of diabetes mellitus. Diabetes Care 36 Suppl 1: S67-74.
42. Perkins NJ, Schisterman EF (2006) The inconsistency of "optimal" cut-points using two ROC based criteria. Am J Epidemiol 163: 670-675.
43. Brodovicz KG, Dekker JM, Rijkelijkhuizen JM, Rhodes T, Mari A, et al. (2011) The Finnish Diabetes Risk Score is associated with insulin resistance but not reduced beta-cell function, by classical and model-based estimates. Diabet Med 28: 1078-1081.
44. Schwarz PEH, Li J, Reimann M, Schutte AE, Bergmann A, et al. (2009): The Finnish Diabetes Risk Score is associated with insulin resistance and progression towards type 2 diabetes. J Clin Endocrinol Metab 94: 920-926.
45. American Diabetes Association (2013) Standards of medical care in diabetes-2013. Diabetes Care 36 Suppl 1: S11-66.
46. Getaneh A, Andres R, Brillon DJ, Findley SE (2011) Hemoglobin A(1c) criterion for diabetes diagnosis among Hispanic and non-Hispanic populations. Endocr Pract 17: 210-217.
47. Bennett CM, Guo M, Dharmage SC (2007) HbA(1c) as a screening tool for detection of type 2 diabetes: a systematic review. Diabet Med 24: 333-343. (Pubitemid 46452406)
48. Haffner SM, Stern MP, Hazuda HP, Rosenthal M, Knapp JA, et al. (1986) Role of obesity and fat distribution in non-insulin-dependent diabetes mellitus in Mexican Americans and non-Hispanic whites. Diabetes Care 9: 153-161. (Pubitemid 16080470)
49. Gurka MJ, Lilly CL, Oliver MN, Deboer MD (2013) An examination of sex and racial/ethnic differences in the metabolic syndrome among adults: a confirmatory factor anlysis and a resulting continuous severity score. Metabolism 63: 218-225.
50. Tabak AG, Herder C, Rathmann W, Brunner EJ, Kivimaki M (2012) Prediabetes: a high-risk state for diabetes development. Lancet 379: 2279-2290.